GenAI Solutions Architect for AWS ML & GenAI

Amazon; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Amazon Web Services (AWS) seeks a GenAI/ML Solutions Architect in the United States to help customers design GenAI solutions using SageMaker, Bedrock, and related AI/ML services. You will collaborate with customers’ data science teams, partners, and AWS service teams to accelerate adoption of GenAI on AWS.

Responsibilities include designing scalable GenAI pipelines, evangelizing best practices, and contributing to customer-driven product feedback.

Qualifications

• Deep technical experience in AI/ML and/or deep learning
• Strong mathematics and statistics background preferred

Responsibilities

• Working with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Personalize, and the other AI/ML services.
• Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases.
• Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
• Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback. Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS.

Job description

Amazon Web Services (AWS) seeks a GenAI/ML Solutions Architect in the United States to help customers design GenAI solutions using SageMaker, Bedrock, and related AI/ML services. You will collaborate with customers’ data science teams, partners, and AWS service teams to accelerate adoption of GenAI on AWS.

Responsibilities include designing scalable GenAI pipelines, evangelizing best practices, and contributing to customer-driven product feedback.